Python for Data Manipulation and Automation | Dataford Interview Questions

Tell me about how you have utilized Python for data manipulation or automation in past projects.

For the hands-on portion, use the supplied customers and transactions tables to produce a customer-level summary of valid transactions from the first quarter of 2025.

Output

One row per customer, including customers with no valid transactions.
Columns: customer_id, customer_name, total_completed_amount, completed_transaction_count, and latest_completed_date.
Include only completed transactions with a positive, non-null amount in the specified quarter. Sort by customer_id ascending.

Schema

customers

Column	Type	Description
customer_idPK	INT	Unique customer identifier
customer_name	VARCHAR(100)	Customer display name

transactions

Column	Type	Description
transaction_idPK	INT	Unique transaction identifier
customer_id	INT	Customer associated with the transaction
amount	NUMERIC(10,2)	Transaction amount
status	VARCHAR(20)	Transaction processing status
transaction_date	DATE	Transaction date

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